34669 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 34669 Zip Code | Florida | U.S. |
Total Housing Units | 5,794, 100% | 9,051,851 | 132,741,033 |
1 Room | 35, 0.60%, see rank | 1.65% | 1.95% |
2 Rooms | 12, 0.21%, see rank | 2.16% | 2.48% |
3 Rooms | 259, 4.47%, see rank | 10.38% | 9.13% |
4 Rooms | 1,135, 19.59%, see rank | 21.92% | 16.60% |
5 Rooms | 1,406, 24.27%, see rank | 23.70% | 20.41% |
6 Rooms | 1,307, 22.56%, see rank | 17.82% | 18.06% |
7 Rooms | 908, 15.67%, see rank | 10.59% | 12.27% |
8 Rooms | 269, 4.64%, see rank | 6.13% | 8.48% |
9 Rooms or More | 463, 7.99%, see rank | 5.66% | 10.60% |
Median Rooms | 5.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 34669 Zip Code | Florida | U.S. |
Total Housing Units | 5,778, 100% | 8,983,414 | 131,642,457 |
1 Room | 16, 0.28%, see rank | 1.60% | 1.95% |
2 Rooms | 21, 0.36%, see rank | 2.07% | 2.36% |
3 Rooms | 235, 4.07%, see rank | 10.10% | 8.97% |
4 Rooms | 1,224, 21.18%, see rank | 21.59% | 16.57% |
5 Rooms | 1,478, 25.58%, see rank | 23.45% | 20.41% |
6 Rooms | 1,468, 25.41%, see rank | 18.16% | 18.25% |
7 Rooms | 766, 13.26%, see rank | 10.93% | 12.38% |
8 Rooms | 172, 2.98%, see rank | 6.37% | 8.59% |
9 Rooms or More | 398, 6.89%, see rank | 5.73% | 10.52% |
Median Rooms | 5.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 34669 Zip Code | Florida | U.S. |
Total Housing Units | 4,518, 100% | 7,302,947 | 115,904,641 |
1 Room | 20, 0.44%, see rank | 2.37% | 2.20% |
2 Rooms | 84, 1.86%, see rank | 6.06% | 4.81% |
3 Rooms | 265, 5.87%, see rank | 11.51% | 9.84% |
4 Rooms | 710, 15.71%, see rank | 19.42% | 15.97% |
5 Rooms | 1,327, 29.37%, see rank | 22.70% | 20.89% |
6 Rooms | 1,152, 25.50%, see rank | 17.74% | 18.45% |
7 Rooms | 601, 13.30%, see rank | 10.60% | 12.06% |
8 Rooms | 249, 5.51%, see rank | 5.76% | 8.06% |
9 Rooms or More | 110, 2.43%, see rank | 3.85% | 7.70% |
Median Rooms | 5.40, see rank | 5.00 | 5.30 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.